Results 91 to 100 of about 1,744 (240)
Satellite observations of convection and their implications for parameterizations
Parameterization development and evaluation ideally takes a two-step approach (Lohmann et al., 2007). Insight into new processes, and initial parameterization formulation should be guided by theory, process-level observations (laboratory experiments or field studies) or, if these are unavailable, by high-resolution modelling.
Quaas, Johannes, Stier, Philip
openaire +2 more sources
Capturing Aleatoric Uncertainty in Climate Models
ABSTRACT Internal climate variability arises from the climate system's inherently chaotic dynamics. Quantifying it is essential for climate science, as it enables risk‐based decision‐making and differentiates between externally forced change and internal fluctuations.
Cornelia Gruber +4 more
wiley +1 more source
Predictability associated with convection-allowing and convection-parameterizing forecasts
Exponential increases in computing power during the last 30 years have allowed operational numerical weather (NWP) models to steadily refine their grid-spacing to better represent topographic features and related physical processes. The reductions in model grid-spacing have contributed to significant improvements in forecasts of many important ...
openaire +3 more sources
Future warming shifts precipitation from snow to rain across the Saskatchewan River Basin, reducing snow water equivalent and advancing snowmelt timing. Differences among precipitation phase‐partitioning methods propagate from snowpack accumulation to runoff magnitude and timing, producing earlier spring flows and higher peak discharge.
Fuad Yassin +5 more
wiley +1 more source
A Parameterization for Cloud Organization and Propagation by Evaporation‐Driven Cold Pool Edges
When the negatively buoyant air in the cloud downdrafts reaches the surface, it spreads out horizontally, producing cold pools. A cold pool can trigger new convective cells. However, when combined with the ambient vertical wind shear, it can also connect
Saulo R. Freitas +4 more
doaj +1 more source
Abstract Accurately quantifying air–sea CO2 exchange remains a central challenge for the measurement, reporting, and verification (MRV) of marine carbon dioxide removal. I apply direct eddy covariance measurements of CO2 fluxes at a macroalgae‐dominated coast to compile the first gas transfer velocity (k660) parameterization for such a habitat.
Bryce Van Dam
wiley +1 more source
Balancing Convective and Langmuir Turbulence: An Enhanced Mixing Scheme for Ocean Models
Langmuir turbulence is a key and common process in the ocean surface boundary layer, playing a major role in vertical mixing, heat flux, and material transport.
Qian Fang, Xiaoyu Yu, Peng Wang
doaj +1 more source
Evaluating the Prediction of Wind Power Ramping Events in the Belgian Offshore Zone
This work proposes a flexible verification framework to assess wind power ramp forecasts more comprehensively than standard metrics. Applied to the Belgian Offshore Zone, it demonstrates the effectiveness of Wind‐Farm‐Parameterization and machine learning models and indicates a strong link between severe precipitation and predictable ramp events ...
Ruoke Meng +7 more
wiley +1 more source
ABSTRACT This study describes the implementation of a mechanistic subcutaneous (SC) injection model for the Open Systems Pharmacology platform. As the SC route of administration is gaining increased popularity, there is a growing need for tools to predict, analyze, and understand the SC absorption process and the mechanisms involved.
Moriah Pellowe +2 more
wiley +1 more source
Abstract State‐of‐the‐art climate models are approaching gray‐zone resolutions that can improve the representation of tropical cyclones (TCs), but the extent of these gains remains uncertain. This study evaluates the effect of spatial resolution, particularly near the gray‐zone, using three resolution configurations of the Chinese Academy of Sciences ...
Charith Madusanka Widanage +5 more
wiley +1 more source

